When you have found your source directory or file, click the Plus icon next to its name to add it as a dataset.

Tip: You can import multiple datasets at the same time. See below.

Excel files: Click the Plus icon next to the parent workbook to add all of the worksheets as a single dataset, or you can add individual sheets as individual datasets. See Import Excel Data.

When a dataset has been selected, the following fields appear on the right side of the screen. Modify as needed:

Dataset Name: This name appears in the interface.

Dataset Description: You may add an optional description that provides additional detail about the dataset. This information is visible in some areas of the interface.

Tip: Click the Eye icon to inspect the contents of the dataset prior to importing.

You can select a single dataset or multiple datasets for import.

You can modify settings used during import for individual files. In the card for an individual dataset, click Edit Settings.

NOTE: In some cases, there may be discrepancies between row counts in the previewed data versus the data grid after the dataset has been imported, due to rounding in row counts performed in the preview.

Per-file encoding: By default, Trifacta Wrangler attempts to interpret the encoding used in the file. In some cases, the data preview panel may contain garbled data, due to a mismatch in encodings. In the Data Preview dialog, you can select a different encoding for the file. When the correct encoding is selected, the preview displays the data as expected.

Detect structure: By default, Trifacta Wrangler attempts to interpret the structure of your data during import. This structuring attempts to apply an initial tabular structure to the dataset.

Unless you have specific problems with the initial structure, you should leave the Detect structure setting enabled. Recipes created from these imported datasets automatically include the structuring as the first, hidden steps. These steps are not available for editing, although you can remove them through the Recipe panel. See Recipe Panel.

When detecting structure is disabled, imported datasets whose schema has not been detected are labeled, unstructured datasets. When recipes are created for these unstructured datasets, the structuring steps are added into the recipe and can be edited as needed.